...
首页> 外文期刊>Journal of great lakes research >Do existing ecological classifications characterize the spatial variability of stream temperatures in the Great Lakes Basin, Ontario?
【24h】

Do existing ecological classifications characterize the spatial variability of stream temperatures in the Great Lakes Basin, Ontario?

机译:现有的生态分类法是否可以描述安大略省大湖盆地河流温度的空间变异性?

获取原文
获取原文并翻译 | 示例
           

摘要

Ecological classifications of stream ecosystems have been used to develop monitoring programs, identify reference and impacted systems, and focus conservation efforts. One of the most influential, but highly variable, components of stream ecosystems is water temperature but few geographically broad-scale and long-term programs exist to assess and monitor temperatures. This study evaluated if existing ecological classifications could be used to categorize the similarities and differences in stream temperatures across the Ontario portion of the Great Lakes Basin. Concordance between the spatial variability in temperatures and an existing ecological classification would support the use of that classification to define areas with similar temperatures, guide the development of a monitoring program, and inform management programs. The five classifications evaluated were the ecoregions and ecodistricts defined in the National Ecological Framework for Canada, the ecoregions and ecodistricts defined in the Ecological Land Classification of Ontario, and the aquatic ecosystem units defined in the Aquatic Ecosystem Classification (AEC) for the Ontario portion of the Great Lakes Basin. Hierarchical linear modelling and corrected Akaike Information Criterion indicated that the ecodistrict classifications characterized more of the spatial variability in temperatures than the ecoregion and AEC classification but temperatures were more variable among sites within classes than between classes. Therefore, none of the existing ecological classifications could be used to characterize thermal variability. Future research should examine if the inability of the existing classifications to capture the thermal variability translates into inaccurate classification of other ecosystem components such as water quality, and macroinvertebrate and fish assemblages.
机译:河流生态系统的生态分类已用于制定监测计划,确定参考和受影响的系统以及重点保护工作。水温是河流生态系统中最具影响力但变化很大的组成部分之一,但是很少有地理上广泛的长期计划来评估和监测温度。这项研究评估了是否可以使用现有的生态学分类对大湖流域安大略部分的溪流温度的相似性和差异性进行分类。温度的空间变异性与现有的生态分类之间的一致性将支持使用该分类来定义温度相似的区域,指导制定监测计划并为管理计划提供信息。评估的五个分类是加拿大国家生态框架中定义的生态区和生态区,安大略省生态土地分类中定义的生态区和生态区,以及加拿大安大略省部分水生生态系统分类(AEC)中定义的水生生态系统单位。大湖盆地。分层线性建模和经修正的Akaike信息准则表明,生态区分类比温度区域和AEC分类具有更多的温度空间变异性,但温度在类别内的站点之间比类别之间的可变性更大。因此,现有的生态学分类均不能用于表征热变异性。未来的研究应检查现有分类是否无法捕获热变化,是否会转化为其他生态系统组件(如水质,大型无脊椎动物和鱼类)的分类不正确。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号